Jordan L. Boyd-Graber

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 131

Top Venues

Publications

Nishant Balepur, Matthew Shu, Alexander Miserlis Hoyle, Alison Robey, Shi Feng, Seraphina Goldfarb-Tarrant, Jordan L. Boyd-Graber
A SMART Mnemonic Sounds like "Glue Tonic": Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick. CoRR (2024)
Neha Srikanth, Rupak Sarkar, Heran Mane, Elizabeth Aparicio, Quynh C. Nguyen, Rachel Rudinger, Jordan L. Boyd-Graber
Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering. NAACL-HLT (2024)
Ishani Mondal, Shwetha S, Anandhavelu Natarajan, Aparna Garimella, Sambaran Bandyopadhyay, Jordan L. Boyd-Graber
Presentations by the Humans and For the Humans: Harnessing LLMs for Generating Persona-Aware Slides from Documents. EACL (1) (2024)
Alvin Grissom II, Jo Shoemaker, Benjamin Goldman, Ruikang Shi, Craig Stewart, C. Anton Rytting, Leah Findlater, Jordan L. Boyd-Graber
Rapidly Piloting Real-time Linguistic Assistance for Simultaneous Interpreters with Untrained Bilingual Surrogates. LREC/COLING (2024)
Zongxia Li, Andrew Mao, Daniel Stephens, Pranav Goel, Emily Walpole, Alden Dima, Juan Fung, Jordan L. Boyd-Graber
Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis. EACL (1) (2024)
Wichayaporn Wongkamjan, Feng Gu, Yanze Wang, Ulf Hermjakob, Jonathan May, Brandon M. Stewart, Jonathan K. Kummerfeld, Denis Peskoff, Jordan L. Boyd-Graber
More Victories, Less Cooperation: Assessing Cicero's Diplomacy Play. ACL (1) (2024)
Yoo Yeon Sung, Ishani Mondal, Jordan L. Boyd-Graber
How the Advent of Ubiquitous Large Language Models both Stymie and Turbocharge Dynamic Adversarial Question Generation. CoRR (2024)
Matthew Shu, Nishant Balepur, Shi Feng, Jordan L. Boyd-Graber
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students. CoRR (2024)
Chenglei Si, Navita Goyal, Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber
Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong. NAACL-HLT (2024)
Zongxia Li, Ishani Mondal, Yijun Liang, Huy Nghiem, Jordan L. Boyd-Graber
CFMatch: Aligning Automated Answer Equivalence Evaluation with Expert Judgments For Open-Domain Question Answering. CoRR (2024)
Zongxia Li, Andrew Mao, Daniel Stephens, Pranav Goel, Emily Walpole, Alden Dima, Juan Fung, Jordan L. Boyd-Graber
Beyond Automated Evaluation Metrics: Evaluating Topic Models On Practical Social Science Content Analysis Tasks. CoRR (2024)
HyoJung Han, Jordan L. Boyd-Graber, Marine Carpuat
Bridging Background Knowledge Gaps in Translation with Automatic Explicitation. EMNLP (2023)
Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber
Mixture of Prompt Experts for Generalizable and Interpretable Question Answering. CoRR (2023)
Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber
Getting MoRE out of Mixture of Language Model Reasoning Experts. EMNLP (Findings) (2023)
Ishani Mondal, Michelle Yuan, Anandhavelu Natarajan, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, Jordan L. Boyd-Graber
InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction. CoRR (2023)
Yoo Yeon Sung, Jordan L. Boyd-Graber, Naeemul Hassan
Not all Fake News is Written: A Dataset and Analysis of Misleading Video Headlines. EMNLP (2023)
Neha Srikanth, Rupak Sarkar, Rachel Rudinger, Jordan L. Boyd-Graber
Towards Pragmatic Awareness in Question Answering: A Case Study in Maternal and Infant Health. CoRR (2023)
Chenglei Si, Zhe Gan, Zhengyuan Yang, Shuohang Wang, Jianfeng Wang, Jordan L. Boyd-Graber, Lijuan Wang
Prompting GPT-3 To Be Reliable. ICLR (2023)
Samuel Barham, Orion Weller, Michelle Yuan, Kenton Murray, Mahsa Yarmohammadi, Zhengping Jiang, Siddharth Vashishtha, Alexander Martin, Anqi Liu, Aaron Steven White, Jordan L. Boyd-Graber, Benjamin Van Durme
MegaWika: Millions of reports and their sources across 50 diverse languages. CoRR (2023)
Chenglei Si, Navita Goyal, Sherry Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber
Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong. CoRR (2023)
Yoo Yeon Sung, Jordan L. Boyd-Graber, Naeemul Hassan
Not all Fake News is Written: A Dataset and Analysis of Misleading Video Headlines. CoRR (2023)
Kyle Seelman, Mozhi Zhang, Jordan L. Boyd-Graber
Labeled Interactive Topic Models. CoRR (2023)
Sander Schulhoff, Jeremy Pinto, Anaum Khan, Louis-François Bouchard, Chenglei Si, Svetlina Anati, Valen Tagliabue, Anson Liu Kost, Christopher Carnahan, Jordan L. Boyd-Graber
Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition. EMNLP (2023)
Sander Schulhoff, Jeremy Pinto, Anaum Khan, Louis-François Bouchard, Chenglei Si, Svetlina Anati, Valen Tagliabue, Anson Liu Kost, Christopher Carnahan, Jordan L. Boyd-Graber
Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition. CoRR (2023)
Chenglei Si, Chen Zhao, Sewon Min, Jordan L. Boyd-Graber
Revisiting Calibration for Question Answering. CoRR (2022)
Saptarashmi Bandyopadhyay, Shraman Pal, Hao Zou, Abhranil Chandra, Jordan L. Boyd-Graber
Improving Question Answering with Generation of NQ-like Questions. CoRR (2022)
Fenfei Guo, Chen Zhang, Zhirui Zhang, Qixin He, Kejun Zhang, Jun Xie, Jordan L. Boyd-Graber
Automatic Song Translation for Tonal Languages. ACL (Findings) (2022)
Yoshinari Fujinuma, Jordan L. Boyd-Graber, Katharina Kann
Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability. CoRR (2022)
Fenfei Guo, Chen Zhang, Zhirui Zhang, Qixin He, Kejun Zhang, Jun Xie, Jordan L. Boyd-Graber
Automatic Song Translation for Tonal Languages. CoRR (2022)
Michelle Yuan, Patrick Xia, Chandler May, Benjamin Van Durme, Jordan L. Boyd-Graber
Adapting Coreference Resolution Models through Active Learning. ACL (1) (2022)
Yoshinari Fujinuma, Jordan L. Boyd-Graber, Katharina Kann
Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability. ACL (1) (2022)
Wanrong He, Andrew Mao, Jordan L. Boyd-Graber
Cheater's Bowl: Human vs. Computer Search Strategies for Open-Domain QA. EMNLP (Findings) (2022)
HyoJung Han, Marine Carpuat, Jordan L. Boyd-Graber
SimQA: Detecting Simultaneous MT Errors through Word-by-Word Question Answering. EMNLP (2022)
Chenglei Si, Zhe Gan, Zhengyuan Yang, Shuohang Wang, Jianfeng Wang, Jordan L. Boyd-Graber, Lijuan Wang
Prompting GPT-3 To Be Reliable. CoRR (2022)
Wanrong He, Andrew Mao, Jordan L. Boyd-Graber
Cheater's Bowl: Human vs. Computer Search Strategies for Open-Domain Question Answering. CoRR (2022)
Chenglei Si, Chen Zhao, Sewon Min, Jordan L. Boyd-Graber
Re-Examining Calibration: The Case of Question Answering. EMNLP (Findings) (2022)
Shi Feng, Jordan L. Boyd-Graber
Learning to Explain Selectively: A Case Study on Question Answering. EMNLP (2022)
Denis Peskov, Viktor Hangya, Jordan L. Boyd-Graber, Alexander Fraser
Adapting Entities across Languages and Cultures. EMNLP (Findings) (2021)
Alexander Miserlis Hoyle, Pranav Goel, Andrew Hian-Cheong, Denis Peskov, Jordan L. Boyd-Graber, Philip Resnik
Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence. NeurIPS (2021)
Chenglei Si, Chen Zhao, Jordan L. Boyd-Graber
What's in a Name? Answer Equivalence For Open-Domain Question Answering. CoRR (2021)
Maharshi Gor, Kellie Webster, Jordan L. Boyd-Graber
Toward Deconfounding the Effect of Entity Demographics for Question Answering Accuracy. EMNLP (1) (2021)
Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation. CoRR (2021)
Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III
Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval. NAACL-HLT (2021)
Alexander Miserlis Hoyle, Pranav Goel, Denis Peskov, Andrew Hian-Cheong, Jordan L. Boyd-Graber, Philip Resnik
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence. CoRR (2021)
Michelle Yuan, Patrick Xia, Benjamin Van Durme, Jordan L. Boyd-Graber
Adaptive Active Learning for Coreference Resolution. CoRR (2021)
Pedro Rodriguez, Joe Barrow, Alexander Miserlis Hoyle, John P. Lalor, Robin Jia, Jordan L. Boyd-Graber
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? ACL/IJCNLP (1) (2021)
Julian Eisenschlos, Bhuwan Dhingra, Jannis Bulian, Benjamin Börschinger, Jordan L. Boyd-Graber
Fool Me Twice: Entailment from Wikipedia Gamification. NAACL-HLT (2021)
Maharshi Gor, Kellie Webster, Jordan L. Boyd-Graber
Towards Deconfounding the Influence of Subject's Demographic Characteristics in Question Answering. CoRR (2021)
Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR (2021)
Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III
Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation. EMNLP (1) (2021)
Chenglei Si, Chen Zhao, Jordan L. Boyd-Graber
What's in a Name? Answer Equivalence For Open-Domain Question Answering. EMNLP (1) (2021)
Julian Martin Eisenschlos, Bhuwan Dhingra, Jannis Bulian, Benjamin Börschinger, Jordan L. Boyd-Graber
Fool Me Twice: Entailment from Wikipedia Gamification. CoRR (2021)
Chen Zhao, Chenyan Xiong, Xin Qian, Jordan L. Boyd-Graber
Complex Factoid Question Answering with a Free-Text Knowledge Graph. CoRR (2021)
Pedro Rodriguez, Jordan L. Boyd-Graber
Evaluation Paradigms in Question Answering. EMNLP (1) (2021)
Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III
Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval. CoRR (2021)
Jordan L. Boyd-Graber, Benjamin Börschinger
What Question Answering can Learn from Trivia Nerds. ACL (2020)
Mozhi Zhang, Yoshinari Fujinuma, Jordan L. Boyd-Graber
Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification. AAAI (2020)
Jordan L. Boyd-Graber, Fenfei Guo, Leah Findlater, Mohit Iyyer
Which Evaluations Uncover Sense Representations that Actually Make Sense? LREC (2020)
Michelle Yuan, Hsuan-Tien Lin, Jordan L. Boyd-Graber
Cold-start Active Learning through Self-supervised Language Modeling. CoRR (2020)
Tianze Shi, Chen Zhao, Jordan L. Boyd-Graber, Hal Daumé III, Lillian Lee
On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries. CoRR (2020)
Thomas Diggelmann, Jordan L. Boyd-Graber, Jannis Bulian, Massimiliano Ciaramita, Markus Leippold
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims. CoRR (2020)
Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan L. Boyd-Graber
Interactive Refinement of Cross-Lingual Word Embeddings. EMNLP (1) (2020)
Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul, Jordan L. Boyd-Graber
Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries. ACL (2020)
Chen Zhao, Chenyan Xiong, Xin Qian, Jordan L. Boyd-Graber
Complex Factoid Question Answering with a Free-Text Knowledge Graph. WWW (2020)
Tianze Shi, Chen Zhao, Jordan L. Boyd-Graber, Hal Daumé III, Lillian Lee
On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries. EMNLP (Findings) (2020)
Michelle Yuan, Hsuan-Tien Lin, Jordan L. Boyd-Graber
Cold-start Active Learning through Self-supervised Language Modeling. EMNLP (1) (2020)
Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) (2020)
Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul, Jordan L. Boyd-Graber
Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries. CoRR (2020)
Denis Peskov, Benny Cheng, Ahmed Elgohary, Joe Barrow, Cristian Danescu-Niculescu-Mizil, Jordan L. Boyd-Graber
It Takes Two to Lie: One to Lie, and One to Listen. ACL (2020)
Alison Smith-Renner, Ron Fan, Melissa Birchfield, Tongshuang Wu, Jordan L. Boyd-Graber, Daniel S. Weld, Leah Findlater
No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML. CHI (2020)
Francesco S. Varini, Jordan L. Boyd-Graber, Massimiliano Ciaramita, Markus Leippold
ClimaText: A Dataset for Climate Change Topic Detection. CoRR (2020)
Alison Smith-Renner, Varun Kumar, Jordan L. Boyd-Graber, Kevin D. Seppi, Leah Findlater
Digging into user control: perceptions of adherence and instability in transparent models. IUI (2020)
Wenyan Li, Alvin Grissom II, Jordan L. Boyd-Graber
An Attentive Recurrent Model for Incremental Prediction of Sentence-final Verbs. EMNLP (Findings) (2020)
Shi Feng, Eric Wallace, Jordan L. Boyd-Graber
Misleading Failures of Partial-input Baselines. ACL (1) (2019)
Weiwei Yang, Jordan L. Boyd-Graber, Philip Resnik
A Multilingual Topic Model for Learning Weighted Topic Links Across Corpora with Low Comparability. EMNLP/IJCNLP (1) (2019)
Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Courtni Byun, Jordan L. Boyd-Graber, Kevin D. Seppi
Automatic Evaluation of Local Topic Quality. CoRR (2019)
Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin D. Seppi, Jordan L. Boyd-Graber
Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models. ACL (1) (2019)
Pedro Rodriguez, Shi Feng, Mohit Iyyer, He He, Jordan L. Boyd-Graber
Quizbowl: The Case for Incremental Question Answering. CoRR (2019)
Yoshinari Fujinuma, Jordan L. Boyd-Graber, Michael J. Paul
A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity. ACL (1) (2019)
Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, Jordan L. Boyd-Graber
Mitigating Noisy Inputs for Question Answering. CoRR (2019)
Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, Jordan L. Boyd-Graber
Mitigating Noisy Inputs for Question Answering. INTERSPEECH (2019)
Benjamin Börschinger, Jordan L. Boyd-Graber, Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Michelle Chen Huebscher, Wojciech Gajewski, Yannic Kilcher, Rodrigo Nogueira, Lierni Sestorain Saralegu
Meta Answering for Machine Reading. CoRR (2019)
Eric Wallace, Pedro Rodriguez, Shi Feng, Ikuya Yamada, Jordan L. Boyd-Graber
Trick Me If You Can: Human-in-the-loop Generation of Adversarial Question Answering Examples. Trans. Assoc. Comput. Linguistics 7 (2019)
Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Courtni Byun, Jordan L. Boyd-Graber, Kevin D. Seppi
Automatic Evaluation of Local Topic Quality. ACL (1) (2019)
Yoshinari Fujinuma, Jordan L. Boyd-Graber, Michael J. Paul
A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity. CoRR (2019)
Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan L. Boyd-Graber
Interactive Refinement of Cross-Lingual Word Embeddings. CoRR (2019)
Shi Feng, Jordan L. Boyd-Graber
What can AI do for me?: evaluating machine learning interpretations in cooperative play. IUI (2019)
Jordan L. Boyd-Graber
What Question Answering can Learn from Trivia Nerds. CoRR (2019)
Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka, Jordan L. Boyd-Graber
Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization. ACL (1) (2019)
Ahmed Elgohary, Denis Peskov, Jordan L. Boyd-Graber
Can You Unpack That? Learning to Rewrite Questions-in-Context. EMNLP/IJCNLP (1) (2019)
Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka, Jordan L. Boyd-Graber
Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization. CoRR (2019)
Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin D. Seppi, Jordan L. Boyd-Graber
Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models. CoRR (2019)
Shi Feng, Eric Wallace, Jordan L. Boyd-Graber
Misleading Failures of Partial-input Baselines. CoRR (2019)
Mozhi Zhang, Yoshinari Fujinuma, Jordan L. Boyd-Graber
Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification. CoRR (2018)
Shi Feng, Eric Wallace, Alvin Grissom II, Mohit Iyyer, Pedro Rodriguez, Jordan L. Boyd-Graber
Pathologies of Neural Models Make Interpretation Difficult. EMNLP (2018)
Paul Felt, Eric K. Ringger, Jordan L. Boyd-Graber, Kevin D. Seppi
Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types. COLING (2018)
Craig Stewart, Nikolai Vogler, Junjie Hu, Jordan L. Boyd-Graber, Graham Neubig
Automatic Estimation of Simultaneous Interpreter Performance. CoRR (2018)
Eric Wallace, Shi Feng, Jordan L. Boyd-Graber
Interpreting Neural Networks With Nearest Neighbors. CoRR (2018)
Shudong Hao, Jordan L. Boyd-Graber, Michael J. Paul
Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation. CoRR (2018)
Ahmed Elgohary, Chen Zhao, Jordan L. Boyd-Graber
A dataset and baselines for sequential open-domain question answering. EMNLP (2018)

Jordan L. Boyd-Graber.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jordan L. Boyd-Graber